data processes

When companies evaluate potential data centers and colocation service providers, they normally compare them using some kind of criteria or checklist. However, many such efforts fail to sufficiently evaluate the breadth and depth of detail necessary to make a well informed decision.
This white paper examines several key criteria as they relate to service delivery from a data center or colocation provider. Specifically, this paper examines the importance of factors such as risk mitigation, operational processes and service assurance, combined with maintenance and lifecycle strategies that directly contribute to “high-availability service delivery.”

A comprehensive approach to security requires much more than simply installing locks and hiring security officers. While these remain important aspects of an effective security plan, they are part of a broader, more integrative approach to security in today’s dynamic environment. For data center operators, ensuring the security and continuity of their clients’ business operations is a key and compelling imperative.
This paper has examined the elements and organization of a holistic approach to security. Digital Realty views security as an integrated process, consisting of the subprocesses of physical security, information security, incident management, business continuity and compliance, enabled by the systems, processes and people providing quality of delivery and reliability of performance. Absent any of these elements, security becomes a series of loosely related tasks lacking in cohesive effectiveness.

NICE has made a significant investment into AI and ML techniques that are embedded into its core workforce management solution, NICE WFM. Recent advancements include learning models that find hidden patterns in the historical data used to generate forecasts for volume and work time. NICE WFM also has an AI tool that determines, from a series of more than 40 models, which single model will produce the best results for each work type being forecasted. NICE has also included machine learning in its scheduling processes which are discussed at length in the white paper.

To provide drivers with navigation experiences that are always fresh, differentiated and that set an OEM’s brand apart on either embedded or mobile platforms, automakers need an unprecedented level of flexibility and control over data, software and the delivery process.
As a SaaS offering, HERE Navigation on Demand offers automakers a new way to solve their key challenges – such as static software, complex and costly solution development and the inability to update or upgrade the experience once vehicles are in the field.
Automakers need alternatives as they overhaul their navigation and connected service programs and bring change to their development, deployment, and monetization processes. This whitepaper outlines how HERE Technologies can support them to deliver compelling navigation and connected experiences, while keeping them in full control of their branding and revenue streams.
Find out how HERE Navigation on Demand leverages:
The HERE Open Location Platform to deliver alwa

IBM Cloud Private for Data is an
integrated data science, data engineering
and app building platform built on top of
IBM Cloud Private (ICP). The latter is intended
to a) provide all the benefits of cloud
computing but inside your firewall and b)
provide a stepping-stone, should you want
one, to broader (public) cloud deployments.
Further, ICP has a micro-services architecture,
which has additional benefits, which we
will discuss. Going beyond this, ICP for Data
itself is intended to provide an environment
that will make it easier to implement datadriven processes and operations and, more
particularly, to support both the development
of AI and machine learning capabilities, and
their deployment. This last point is important
because there can easily be a disconnect
Executive summary
between data scientists (who often work for
business departments) and the people (usually
IT) who need to operationalise the work of
those data scientists

Robotic process automation describes the use of technology to automate tasks that are traditionally
done by a human being. The technology itself mimics an end user by simulating user actions such as
navigating within an application or entering data into forms according to a set of rules. RPA is often
used to automate routine administrative tasks that typically require a human being to interact with
multiple systems, but RPA technology is evolving to support the automation of increasingly
sophisticated processes at scale within enterprise architectures rather than on the desktop. Over the
past two years, RPA has been adopted by a number of business process outsourcing (BPO) providers
and a growing number of end-user organizations are now deploying the technology themselves to
create “virtual workforces” of robotic workers.

As the construction industry becomes more competitive, regulations increase and skilled labour becomes more selective; the one thing that will define your company from the competition is your data.
The best companies use real, situational data in pre-task analyses daily to report on and improve their Quality, Safety and Productivity processes and performance. Download your copy to learn:
• The importance of including quality, safety and productivity in your pre-task analyses
• Using the three-part task-analysis approach
• How to collect meaningful data to track performance

In the digital economy, data is becoming more interconnected every day. The volume of highly-connected data is growing rapidly, while also becoming a highly-valued corporate asset. By exploring relationships among people, processes and things, new business opportunities emerge, helping grow your business's competitive advantage.

Bancolombia is an award winning, full-service financial institution that provides banking services to customers in 12 different countries and is one of the 10th largest financial groups in Latin-America.With bots from Automation Anywhere, Bancolombia sifts through structured, semi-structured, and unstructured customer data to transform their BPM. Bots automate hundreds of processes and greatly increasing back office efficiency, saving Bancolombia a significant amount of time servicing customers. This has led to an increase in CSAT numbers and has created additional revenue streams.

Midsized firms operate in the same hypercompetitive, digital environment as large enterprises—but with fewer technical and budget resources to draw from. That’s why it is essential for IT leaders to leverage best-practice processes and models that can help them support strategic business goals such as agility, innovation, speed-tomarket, and always-on business operations. A hybrid IT implementation can provide the infrastructure flexibility to support the next generation of high-performance, data-intensive applications. A hybrid foundation can also facilitate new, collaborative processes that bring together IT and business stakeholders.

Whether your company has been selling online for 20 minutes or 20 years, you are
undoubtedly familiar with the PCI DSS (Payment Card Industry Data Security Standard). It
requires merchants to create security management policies and procedures for safeguarding
customers’ payment data.
Originally created by Visa, MasterCard, Discover, and American Express in 2004, the PCI DSS
has evolved over the years to ensure online sellers have the systems and processes in place
to prevent a data breach.

Many procurement departments are still using traditional manual processes or outdated technology. The result? Rogue spending, missed discounts from supplier contract pricing, reconciliation headaches, and the list goes on.
These business risks are driving more organizations towards the cloud-based, secure, and workflow-friendly world of eProcurement solutions. These solutions are saving money and resources, improving use of budgets and personnel, enabling centralization, and using data to improve and streamline end-to-end purchasing processes.
Download this report to learn about:
Procurement trends from 400 organizations surveyed
Operational and cost-savings benefits of eProcurement
Leading features and functionality in eProcurement
Adoption best practices and how to get started

Download this white paper to learn more about these notable findings from IDC's study of HP DC Service customers.
HP Datacenter Care Service can reduce the costs of delivering mission-critical business processes by 23%.
HP's Datacenter Care Service solution is able to reduce downtime by 88%, adding five hours of uptime annually to each internal user and $835,000 in revenue to each organization.
Increasingly, x86 servers will need a higher level of operational support.
On average, companies in this study were able to recognize an average ROI of 456% and pay back the initial investment in HP DC Service in six months.

Digital transformation (DX) — a technology-driven business strategy — enables firms to gain or expand their competitive differentiation by embracing data-driven decision-making processes, whether for increasing operational efficiencies, developing new products and services, increasing customer satisfaction and retention, or getting a better intelligence on the market.
Big Data and analytics (BDA) applications form the foundation for enterprisewide digital transformation initiatives.
To find out more download this whitepaper today.

Technology transitions—such as cloud, mobility, big data, and the Internet of Things—bring together people, processes, data, and things to make resources and connections more valuable to your business. They also challenge the role of IT in the enterprise. For your IT department to stay relevant to your lines of business, it must deliver value faster and invest in innovation. Cisco Unified Computing System™ (Cisco UCS®) integrated infrastructure makes it possible to deliver Fast IT—a new IT model that transforms your data center infrastructure into an environment that is fast, agile, smart, and secure. You can break down the IT barriers that are holding your business back and create solutions that capture the value of new connections and information.

Around-the-clock global operations, data growth, and server virtualization all together can complicate protection and recovery strategies. They affect when and how often you can perform backups, increase the time required to back up, and ultimately affect your ability to successfully restore. These challenges can force lower standards for recovery objectives, such as reducing the frequency of backup jobs or protecting fewer applications, both of which can introduce risk. High-speed snapshot technologies and application integration can go a long way toward meeting these needs, and they have quickly become essential elements of a complete protection strategy. But snapshot copies have often been managed separately from traditional backup processes. Features like cataloging for search and retrieval as well as tape creation usually require separate management and do not fully leverage snapshot capabilities. To eliminate complexity and accelerate protection and recovery, you need a solution

Today, nearly every datacenter has become heavily virtualized. In fact, according to Gartner as many as 75% of X86 server workloads are already virtualized in the enterprise datacenter. Yet even with the growth rate of virtual machines outpacing the rate of physical servers, industry wide, most virtual environments continue to be protected by backup systems designed for physical servers, not the virtual infrastructure they are used on. Even still, data protection products that are virtualization-focused may deliver additional support for virtual processes, but there are pitfalls in selecting the right approach.
This paper will discuss five common costs that can remain hidden until after a virtualization backup system has been fully deployed.

Delivering exceptional customer experiences has become a key differentiator for top organizations today. Now you can see where your peers and competitors stand in the new Forbes Insights report Data Elevates the Customer Experience. This report is a comprehensive follow-up to an October 2015 preliminary pulse survey conducted among 105 executives of large global organizations. It identifies three categories of organizations – leaders, explorers and laggards – and measures the progress they have made with the data-driven customer experience based on three key pillars: organization (people), openness (data) and orchestration (processes). Read the results, find out where you stand and glean some new ideas from your peers about how to elevate the customer experience.

This TDWI Best Practices Report focuses on how organizations can and are operationalizing analytics to derive business value. It provides in-depth survey analysis of current strategies and future trends for embedded analytics across both organizational and technical dimensions, including organizational culture, infrastructure, data and processes. It looks at challenges and how organizations are overcoming them, and offers recommendations and best practices for successfully operationalizing analytics in the organization.

Technology transitions—such as cloud, mobility, big data, and the Internet of Things—bring together people, processes, data, and things to make resources and connections more valuable to your business. They also challenge the role of IT in the enterprise. For your IT department to stay relevant to your lines of business, it must deliver value faster and invest in innovation. Cisco Unified Computing System (Cisco UCS) integrated infrastructure makes it possible to deliver Fast IT—a new IT model that transforms your data center infrastructure into an environment that is fast, agile, smart, and secure. You can break down the IT barriers that are holding your business back and create solutions that capture the value of new connections and information.

The demands on IT today are staggering. Most organizations depend on their data to drive everything from product development and sales to communications, operations, and innovation. As a result, IT departments are charged with finding a way to bring new applications online quickly, accommodate massive data growth and complex data analysis, and make data available 24 hours a day, around the world, on any device. The traditional way to deliver data services is with separate infrastructure silos for various applications, processes, and locations, resulting in continually escalating costs for infrastructure and management. These infrastructure silos make it difficult to respond quickly to business opportunities and threats, cause productivity-hindering delays when you need to scale, and drive up operational costs.

Whether you’re new to Electronic Data Exchange (EDI) or looking to enhance your understanding, EDI Basics is for you. This ebook explains fundamental EDI concepts in simple language to help you move away from old, manual processes to an automated supply chain.

This whitepaper explores the new SPARC S7 server features and then compares this
offering to a similar x86 offering.
The key characteristics of the SPARC S7 to be highlighted are:
? Designed for scale-out and cloud infrastructures
? SPARC S7 processor with greater core performance than the latest Intel Xeon E5
processor
? Software in Silicon which offers hardware-based features such as data acceleration
and security
The SPARC S7 is then compared to a similar x86 solution from three different
perspectives, namely performance, risk and cost.
Performance matters as business markets are
driving IT to provide an environment that:
? Continuously provides real-time results.
? Processes more complex workload stacks.
? Optimizes usage of per-core software licenses.
Risk matters today and into the foreseeable future,
as challenges to secure systems and data are
becoming more frequent and invasive from within
and from outside. Oracle SPARC systems approach
risk management from multiple perspectiv

This IDC white paper examines the IoT imperative for companies in the ENR industry. We highlight IoT scenarios now and in the future, that illustrate how the integration of “things” with data and processes can generate value for ENR companies.